Sentence examples for a pair of variables from inspiring English sources

"a pair of variables" is a correct and usable phrase in written English.
It is typically used when referring to two connected objects or concepts. For example: "The scientist studied the correlation between a pair of variables in the experiment."

Exact(17)

Thus, (21) does not define a pair of variables but a set of pairs of optimal configurations.

Due to the non-homogeneous characteristic of the considered network, a pair of variables is needed to represent the state of each cell.

The assumption states that the (conditional) mutual information between a pair of variables is a monotonic function of the set of active paths between those variables; the more active paths between the variables the higher the mutual information.

Common types of analyses, such as panel data analyses and structural equation modeling, presuppose dependent and independent variables for which one of a pair of variables has a decisive effect on the other.

Given a pair of variables i and j that we assume are uncorrelated, we can create synthetic signals of each variable with their lag-1 Markov models using the Monte Carlo sampling scheme explained in Table 1.

We calculated the marginal correlations the Pearson correlations, which indicate the degree of linear dependency between a pair of variables.

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Similar(43)

The receiver consists of a low-noise amplifier, a pair of down-conversion mixers, and a pair of variable-gain low-pass filters.

The objective is lowering the peak acceleration value of the screw, by designing a pair of variable radius gears as a driving mechanism.

The four-gamete test determines whether all four combinations of a pair of variable sites are present in a sample [ 69].

Because a complex variable z can be thought of as a pair of real variables x + iy (where i = √(−1)), an equation involving two complex variables defines a real surface now known as a Riemann surface spread out over the plane.

Notice that even a substantial correlation, or change in correlation, between a pair of exogenous variables neither demands nor forbids consistency in the effects these variables have on the endogenous symptoms in the models.

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